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Case Study

Weather Forecast Decision Support

NOAA / Global Systems Laboratory

UX DesignGovernmentData Visualization

Redesigned critical weather forecasting tools used by meteorologists nationwide, improving decision-making speed and accuracy.

Outcomes

35%

Decision Speed

Faster decision-making for meteorologists using redesigned tools

92%

User Satisfaction

Satisfaction score from NWS forecasters in post-launch survey

-40%

Error Rate

Reduction in forecast input errors through improved UX

The Challenge

National Weather Service forecasters relied on legacy tools with outdated interfaces that slowed critical decision-making during severe weather events. The tools lacked intuitive data visualization, making it difficult to synthesize complex meteorological data quickly.

The Approach

I led a user-centered redesign process, starting with extensive field research at NWS forecast offices. We observed forecasters during severe weather events, conducted contextual inquiries, and mapped their decision-making workflows. This research informed a complete redesign of the data visualization and interaction patterns.

The Solution

The redesigned tools feature streamlined data visualization, customizable layouts for different forecast scenarios, and an accessible interface meeting Section 508 requirements. The new design reduces cognitive load during high-pressure situations and surfaces the most critical data at the right time.

Tools Used

FigmaReactD3.jsUser ResearchUsability Testing